Cognitive age in technology acceptance: At what age are people ready to adopt and continuously use fashionable products?

•We use TAM and UTAUT to explore cognitive age influencing technology acceptance behavior.•In model 1, four factors are significant in technology acceptance and use by digital natives.•In model 2, digital immigrants perceive themselves to be younger than their chronological age. Most modern people i...

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Bibliographic Details
Published inTelematics and informatics Vol. 51; p. 101400
Main Authors Yang, Keng-Chieh, Shih, Po-Hong
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.08.2020
Elsevier Science Ltd
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Summary:•We use TAM and UTAUT to explore cognitive age influencing technology acceptance behavior.•In model 1, four factors are significant in technology acceptance and use by digital natives.•In model 2, digital immigrants perceive themselves to be younger than their chronological age. Most modern people inevitably use smart phones for their daily activities. These devices are more than just telephones and a means to connect with others for many people. They are also fashionable products. This study utilizes two models—the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT)—to explore whether cognitive age is an important factor influencing technology acceptance behavior. We conduct a comparative analysis using the two models in the context of smartphones. Our results using model 1 show that perceived usefulness, perceived ease of use, fashion involvement, and flow are all significant factors in technology acceptance and use by digital natives (i.e. those under 34 years old). The results of model 2, which divides digital immigrants into two groups, reveal that perceived usefulness, perceived ease of use, and flow are significant for digital immigrants who perceive themselves to be younger than their chronological age. For digital immigrants who perceive themselves to be as old as or order than their chronological age (cognitive age> = 34 years old), only perceived usefulness is significant. Finally, we discuss these results and make suggestions relevant to technology acceptance and use in different cognitive age groups.
ISSN:0736-5853
1879-324X
DOI:10.1016/j.tele.2020.101400